Reconcillio

Segasist Reconcillio is a revolutionary approach to the analysis of medical images. It uses the Segasist Engine to create “Knowledge Maps” for each expert user who uses the software. Computational Consensus Building and Auto Quality Assurance are main features of Reconcillio.

The Power of
Computational Consensus

Quality Assurance in Medical Image Analysis

Features of a superior software:

Trainability – The software has to be trainable
for each individual clinical expert such that he/she can
establish his/her own best practices for both diagnosis and treatment; the training should
customize an assistant for each individual expert.

Consensus Building – a trainable software that
captures the individual knowledge
of each doctor is the necessary step for building a consensus; to remove the variability in diagnosis and treatment you have
to capture it first!

Consistency Verification – a trainable and consensus
oriented software should also be capable of verifying how
consistent the user’s practices are.